Senior Design Automation Engineer, Applied AI

Details

NVIDIA is seeking an Applied AI Engineer to lead end-to-end solution development spanning data generation, model training, orchestration, and agentic automation for timing and constraint analysis workflows. The role involves building intelligent systems that learn from sign-off data, reason across flows, and help engineers achieve faster and more predictable closure.

Responsibilities

• Architect and develop AI-driven solutions for static timing, constraint quality, and closure prediction.
• Integrate heterogeneous data sources, including timing reports, constraint graphs, design metadata, and silicon correlation, into structured knowledge bases and training pipelines.
• Develop autonomous analysis agents that interact with timing tools such as PrimeTime, Nanotime, and Tempus to perform multi-corner, multi-mode optimization and constraint debugging.
• Implement scalable orchestration across Flow-Server and Digital Engineer platforms, enabling AI-in-loop decision-making for sign-off readiness.
• Collaborate with methodology and sign-off teams to validate models on live projects and improve coverage, predictability, and engineering productivity.
• Build interpretable AI pipelines using graph neural networks, large language models, and process-aware reasoning engines for timing closure recommendations.
• Own the end-to-end lifecycle from data curation and model training through deployment, monitoring, and continuous improvement in production environments.

Requirements

• Bachelor's degree or equivalent experience in Electrical or Computer Engineering.
• 12 or more years of experience in AI/ML solution development, ideally for EDA, semiconductor, or complex data domains.
• Strong background in VLSI/ASIC design, with deep understanding of timing, constraints, static timing analysis, or sign-off workflows.
• Proficiency in Python, PyTorch or TensorFlow, and graph or agentic AI frameworks such as LangGraph, LangChain, Ray, or NetworkX.
• Experience developing data pipelines, knowledge graphs, or process models for structured engineering data.
• Working knowledge of PrimeTime, Nanotime, Tempus, and scripting integration with EDA environments.
• Experience with AI orchestration frameworks, prompt-based reasoning, and multi-agent automation is highly desirable.
• Strong problem-solving skills, technical depth, and a mentality for experimentation and continuous learning.

Preferred Qualifications

• Experience with constraint validation, false-path detection, and timing-exception modeling.
• Exposure to AI in physical design automation, silicon/process modeling, or EDA flow automation.
• Contributions to open-source AI or flow automation projects.
• Publications or patents in AI for design automation or semiconductor engineering.

Benefits

• Base salary range of USD 196,000–310,500 for Level 5.
• Base salary range of USD 232,000–368,000 for Level 6.
• Eligibility for equity and benefits.
• NVIDIA states that salary is determined based on location, experience, and the pay of employees in similar positions.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.